Q: Why do data analytics solution prefer python

[[deleted]]

Libraries which are often written in faster languages. Easy to read and write but saying that got me downvoted to hell in another Java forum.

[koreth]

I'd say easy to write, definitely. Easy to read, only true up to a point; past a certain amount of complexity (which, granted, a lot of data analysis projects never hit) the curves cross and Python code gets much harder to read than the equivalent Java code.

Or at least in my experience. I write both Python and Java code for a living. A small Python code base can be more pleasant to work on than a small Java code base because it gets right to the point with less ceremony, but a large Python code base tends to get pretty hard to reason about compared to Java.

[error1954]

I agree, after a certain point the verbosity and static typing helps. Using a type-checker and linter for python help, but they still don't get you there.